Feature Importance Analysis and Machine Learning for Alzheimer's Disease Early Detection: Feature Fusion of the Hippocampus, Entorhinal Cortex, and Standardized Uptake Value Ratio.

Introduction: Alzheimer's disease (AD) is a progressive neurological disorder characterized by mild memory loss and ranks as a leading cause of mortality in the USA, accounting for approximately 120,000 deaths per year. It is also the primary form of dementia. Early detection is critical for timely intervention as the neurodegenerative process often starts 15-20 years before cognitive symptoms manifest.

Design of an automated staff scheduling system for an independent pharmacy.

Background: In service industries, employee salaries and wages often constitute the largest portion of the costs to the company. This is very true in the case of an independent pharmacy, which employs pharmacists and pharmacy technicians. Thus, for pharmacies to cost effectively meet the increasing demand for pharmaceuticals, it is crucial that pharmacy managers efficiently allocate the pharmacy staff's time.

Modeling nurse-patient assignments considering patient acuity and travel distance metrics.

Balancing workload among nurses on a hospital unit is important for the satisfaction and safety of nurses and patients. To balance nurse workloads, direct patient care activities, indirect patient care activities, and non-patient care activities that occur throughout a shift must be considered. The layout of a hospital unit and the location of a nurse's assigned patients relative to other resources on the unit are also important factors in achieving workload balance.